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Spotify Song Data

✓ Published0🌍 Public
Mmacgregorm01@gmail.com
Last edited Sep 10, 2024
Created on Sep 4, 2024

This example showcases a single sample record from a large random Spotify dataset, displaying its raw attributes in a formatted JSON structure. The main component takes a container element and injects a preformatted text block containing the first data point, with all quantitative fields converted from strings to numbers. The code relies on a custom CSV import module to load the data and exports the dataset for use across the application. It is built with Vue and rendered on a web page using the WebGL framework.

AI-generated description

The Random Spotify Sample Dataset

The description comes from the original dataset source:

The data corresponds to a psuedo random sampling of Spotify track and artist data from 2024. The data is representative of all Spotify artists rather than just popular artists. The data set included on this fork represents random tracks, while the original dataset also contains data corresponding to the artists themselves.

Five tasks to be completed on this dataset:

  1. I want to visualize the distribution of the popularity rating for each of the songs included.
  2. I want to determine if there is a correlation between the song's popularity and other factors, including valence, danceability, and energy.
  3. I want to understand the correlation between loudness and instrumentalness of a song.
  4. I want to understand how acousticness changed over time.
  5. I want to determine if there is a correlation between tempo and valence of a song.
MIT Licensed

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